Jul 20, 2024 · Central to our method is a neural ODE that provides temporal training signals to the primary NJF and integrates across time to learn a smooth, arbitrary-length ...
Jul 16, 2024 · To overcome this limitation, we opt to represent our mesh deformation through Jacobians, which updates deformations in a global, smooth manner (rather than ...
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Jul 15, 2024 · SDF-based methods excel at reconstructing smooth meshes with minimal error and artefacts but struggle with representing open surfaces. On the other hand ...
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Jul 4, 2024 · ... Mesh Deformation Using 2D Diffusion Priors · EAGLE: Eigen Aggregation ... Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models · PAIR ...
Jul 8, 2024 · We prove that for the task of minimizing a convex and smooth or Lipschitz function over an unbounded domain, tuning-free optimization is impossible. We discuss ...
Jul 9, 2024 · ... smooth deformation from multiple templates to match the query 2D image. [15] proposed X-ray2Shape to reconstruct 3D liver surface meshes by combining GNN ...
Jul 14, 2024 · Differential cohomology theories on smooth manifolds play an important role in mathematical physics and other areas of mathematics. In their seminal work, ...
Jul 15, 2024 · This architecture results in consistent and accurate skeletal joint predictions along with smooth nonparametric mesh output, whose format is chosen by the user ...
Jul 23, 2024 · ... meshes,” ACM Trans. Graph., vol. 40, pp. 166:1–166:11, 2021. [57]C. T. Loop, “Smooth subdivision surfaces based on triangles,” in Masters Thesis, Department ...
Jul 14, 2024 · the mesh and use reconstruction as the main guiding signal. ... To mitigate such effects, we devise an inference-time filtering strategy to smooth abrupt changes.